Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines
Abstract Since 2019, the world has suffered from the outbreak of the “Coronavirus Disease (COVID)-19 pandemic. This study used the principle of Ultraviolet (UV)-C disinfection to produce a mobile high-power UV-C sterilizer. It focused on combining intelligent control systems, human sensors, and Inte...
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| Format: | Article |
| Language: | English |
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Springer
2024-01-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.230226 |
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| author | Chun-Yen Chung Wen-Tsai Sung Lin-Chi Wang Lailatus Siami John Paul Santos |
| author_facet | Chun-Yen Chung Wen-Tsai Sung Lin-Chi Wang Lailatus Siami John Paul Santos |
| author_sort | Chun-Yen Chung |
| collection | DOAJ |
| description | Abstract Since 2019, the world has suffered from the outbreak of the “Coronavirus Disease (COVID)-19 pandemic. This study used the principle of Ultraviolet (UV)-C disinfection to produce a mobile high-power UV-C sterilizer. It focused on combining intelligent control systems, human sensors, and Internet of Things (IoT) systems to carry out disinfection tasks in unmanned indoor spaces. Because of its mobile nature, the sterilizer could be moved at any time in various learning, research, and activity rooms for disinfection. In addition to manually controlling the sterilizer, a Wi-Fi or Narrowband (NB)-IoT-enabled remote control was provided to start the disinfection process. In order to prevent ultraviolet light from harming the human body, sensors were employed self-acting to detect the presence of people and turn off the ultraviolet light when people were detected in the area. At the same time, a camera on the sterilizer would capture an image and notify the relevant personnel through a LINE notification, to prevent the human body from being exposed to ultraviolet light, causing harm to the teachers and students on campus. During operation, voice broadcast reminders and a status indicator could provide information about the operation status. After disinfection, users could view the disinfection process through a mobile device application or a webpage, which would automatically notify relevant personnel of the disinfection status through a LINE notification. In this way, the disinfection progress could be updated at anytime, anywhere and the current disinfection status in the classroom could be displayed in real-time, allowing teachers and students on campus to carry out teaching and learning in a safe and secure environment. |
| format | Article |
| id | doaj-art-01f9e2b448914f3b9c625c1ad218b758 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-01f9e2b448914f3b9c625c1ad218b7582025-02-09T12:24:41ZengSpringerAerosol and Air Quality Research1680-85842071-14092024-01-0124211010.4209/aaqr.230226Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light MachinesChun-Yen Chung0Wen-Tsai Sung1Lin-Chi Wang2Lailatus Siami3John Paul Santos4Computer and Game Development Program, Kun Shan UniversityDepartment of Electrical Engineering, National Chin-Yi University of TechnologyDepartment of Marine Environmental Engineering, National Kaohsiung University of Science and TechnologyDepartment of Environmental Engineering, Chung Yuan Christian UniversityDepartment of Environmental Engineering, Chung Yuan Christian UniversityAbstract Since 2019, the world has suffered from the outbreak of the “Coronavirus Disease (COVID)-19 pandemic. This study used the principle of Ultraviolet (UV)-C disinfection to produce a mobile high-power UV-C sterilizer. It focused on combining intelligent control systems, human sensors, and Internet of Things (IoT) systems to carry out disinfection tasks in unmanned indoor spaces. Because of its mobile nature, the sterilizer could be moved at any time in various learning, research, and activity rooms for disinfection. In addition to manually controlling the sterilizer, a Wi-Fi or Narrowband (NB)-IoT-enabled remote control was provided to start the disinfection process. In order to prevent ultraviolet light from harming the human body, sensors were employed self-acting to detect the presence of people and turn off the ultraviolet light when people were detected in the area. At the same time, a camera on the sterilizer would capture an image and notify the relevant personnel through a LINE notification, to prevent the human body from being exposed to ultraviolet light, causing harm to the teachers and students on campus. During operation, voice broadcast reminders and a status indicator could provide information about the operation status. After disinfection, users could view the disinfection process through a mobile device application or a webpage, which would automatically notify relevant personnel of the disinfection status through a LINE notification. In this way, the disinfection progress could be updated at anytime, anywhere and the current disinfection status in the classroom could be displayed in real-time, allowing teachers and students on campus to carry out teaching and learning in a safe and secure environment.https://doi.org/10.4209/aaqr.230226UV-C sterilizerDisinfectionLINE botInternet of things |
| spellingShingle | Chun-Yen Chung Wen-Tsai Sung Lin-Chi Wang Lailatus Siami John Paul Santos Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines Aerosol and Air Quality Research UV-C sterilizer Disinfection LINE bot Internet of things |
| title | Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines |
| title_full | Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines |
| title_fullStr | Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines |
| title_full_unstemmed | Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines |
| title_short | Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines |
| title_sort | environmental disinfection based on mobile intelligent networking highly efficient ultraviolet light machines |
| topic | UV-C sterilizer Disinfection LINE bot Internet of things |
| url | https://doi.org/10.4209/aaqr.230226 |
| work_keys_str_mv | AT chunyenchung environmentaldisinfectionbasedonmobileintelligentnetworkinghighlyefficientultravioletlightmachines AT wentsaisung environmentaldisinfectionbasedonmobileintelligentnetworkinghighlyefficientultravioletlightmachines AT linchiwang environmentaldisinfectionbasedonmobileintelligentnetworkinghighlyefficientultravioletlightmachines AT lailatussiami environmentaldisinfectionbasedonmobileintelligentnetworkinghighlyefficientultravioletlightmachines AT johnpaulsantos environmentaldisinfectionbasedonmobileintelligentnetworkinghighlyefficientultravioletlightmachines |